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基于粗糙集理论的模型结构选择与知识发现
引用本文:曾传华,徐扬,杜亚军,谢维成.基于粗糙集理论的模型结构选择与知识发现[J].西南交通大学学报,2006,41(3):324-328.
作者姓名:曾传华  徐扬  杜亚军  谢维成
作者单位:1. 西南交通大学智能控制中心,四川,成都,610031;西华大学交通与汽车工程学院,四川,成都,610039
2. 西南交通大学智能控制中心,四川,成都,610031
3. 西华大学计算机与数理学院,四川,成都,610039
4. 西华大学电气信息学院,四川,成都,610039
基金项目:国家自然科学基金资助项目(60474022)
摘    要:为了合理选择决策模型,提出了一种基于粗糙集理论获取模型选择知识并利用获取的知识选择模型的方法.通过随机设定模型参数,得到备选模型的属性值为连续值的决策表;通过设定误差范围,获得决策表中对象之间的关系;利用该关系和粗糙集理论,对决策表进行属性约简,获得决策规则;按该决策规则进行推理,实现智能决策的模型选择.实例表明,该算法是可行的。

关 键 词:智能决策支持系统  粗糙集  模型选择  决策规则
文章编号:0258-2724(2006)03-0324-05
收稿时间:2005-12-11
修稿时间:2005-12-11

Knowledge Discovery and Model Structure Selection Based on Rough Set Theory
ZENG Chuanhua,XU Yang,DU Yajun,XIE Weicheng.Knowledge Discovery and Model Structure Selection Based on Rough Set Theory[J].Journal of Southwest Jiaotong University,2006,41(3):324-328.
Authors:ZENG Chuanhua  XU Yang  DU Yajun  XIE Weicheng
Abstract:To select a proper decision model in intelligent decision, a method to acquire the knowledge of model selection and select a decision model by utilizing the knowledge was proposed based on the rough set theory. With this method, the decision table of models with continuous attribute values is acquired by setting parameters in the models randomly. Then, the relation between objects in the decision table is obtained by setting errors. From the relation, the reduction of attributes for the decision table is conducted by applying the rough set theory to gain decision rules. Based on these decision rules, a proper model can be selected. The feasibility of the proposed method has been illustrated using an example.
Keywords:IDSS(intelligent decision support system)  rough set  model selection  decision rule
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